Tagged #AIS

A short-story about why I decided to do a PhD on the subject of explainable multi-agent reinforcement learning. I detail how I weighted this decision and how I created my proposal. I also try to depict what I plan to do for making the best of my PhD.

Shortcoming issues should not be undermined because, if not tackled immediately, they will make Alignment a lot more complex. I am convinced that interpretability will be the best tool for monitoring and control, and for that, I will pursue this agenda through research and entrepreneurship.

Thanks to recent developments, FHE can now be applied easily and scalably to deep neural networks. I think, like many, that these advancements are a real opportunity to improve AI safety. I thus outline possible applications of FHE in model evaluation and interpretability, the most mature tools in safety as of today in my opinion.